Microsoft has 521 active AI-related job listings. The majority of these roles are focused on agents, representing 37% of the total, followed by application and serving infrastructure. Engineering is the most frequent function, with a significant number of openings, and the United States is the primary hiring country. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on operationalizing AI models. Over the last 30 days, Microsoft has added 280 new AI roles, a 157% increase compared to the previous 30-day period.
Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
Microsoft currently has 343 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (19), Senior Software Engineer (19), Software Engineer II (8), Principal Applied Scientist (7), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (36%), application (21%), serving infrastructure (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Microsoft is hiring AI talent in: United States (308 roles), Canada (15 roles), Japan (8 roles), United Kingdom (7 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 227 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Product Manager II- Responsible AI Product Manager for Responsible AI, focusing on defining and driving product requirements for capabilities that ensure safe, secure, and trustworthy AI systems. The role involves translating emerging AI risks into scalable product features, working across the AI development lifecycle, and engaging with enterprise customers to understand real-world risks and validate product direction. Success is measured by delivering adopted features that improve AI safety, security, or compliance outcomes. | AgentEval Gate | 7 |
| Principal Group Product Manager Principal Group Product Manager for OneDrive and SharePoint AI solutions team, shaping the vision and strategy for AI solutions built and customized on SharePoint. The role involves enabling AI solutions, delivering vertical AI value, and tailoring experiences for enterprise customers. It also includes leading a PM organization, fostering customer obsession and innovation, and driving integration with Copilot and Copilot Studio for agentic solutions. The role emphasizes accountability for growing AI usage, empowering customizers, and raising the bar on AI capability evals. |
| ShipAgent |
| 7 |
| Principal Program Manager Principal Program Manager for Strategic Innovation within Microsoft Security Office of the CTO, focusing on identifying, shaping, and driving portfolio-level security incubations for Security for AI and GenAI-driven defense. The role involves translating emerging AI-driven risks into executable strategies and roadmaps, collaborating with product and engineering teams, and engaging with Fortune 500 CISOs. | Agent | 7 |
| Principal Product Manager - DevOps AI - CoreAI Principal Product Manager for DevOps AI within CoreAI at Microsoft, focusing on leading platform investments to improve how engineers build, ship, and operate software using AI. The role emphasizes turning AI-assisted development into a trusted, end-to-end capability across the engineering lifecycle, ensuring AI workflows meet standards for security, reliability, compliance, and operational excellence. | Ship | 7 |
| Principal Product Manager, AI Multimodal Growth Product Manager role focused on the growth and deployment of AI multimodal models, working at the intersection of research and product growth to drive user adoption and revenue. Responsibilities include identifying growth opportunities, defining product deployments, owning KPIs, and collaborating with engineering, research, and marketing teams to execute go-to-market strategies. | Ship | 7 |
| CTO, Enterprise ASEAN, Thailand CTO for Enterprise ASEAN, Thailand, focusing on designing and implementing Cloud + AI + Agentic technology roadmaps for enterprise customers. The role involves winning CXO mindshare, driving digital transformation, and creating thought leadership in areas like Generative AI and Agentic solutions. | Agent | 7 |
| Principal PM Manager This Principal PM Manager role at Microsoft AI focuses on managing a team to design, evaluate, and improve AI systems' interactions with tools, APIs, and users. The role involves prompt engineering, policy design, and safety, ensuring AI workflows are accurate, compliant, and user-friendly. Responsibilities include creating policies, designing/refining prompts, evaluating AI responses, and improving model quality and safety for Microsoft AI Monetization. | Post-trainAgent | 7 |
| Senior Product Manager - Foundry Inferencing & Training (CoreAI - multiple roles) Senior Product Manager for Microsoft's Foundry Inference & Training team, focusing on product strategy and execution for AI model platforms. The role involves owning product strategy for AI model training, inference, experimentation, and platform enablement, evolving model offerings, driving developer-facing experiences, and defining efficiency metrics. Collaboration with engineering, data science, finance, and go-to-market teams is key, with a focus on solutions for regulated environments. | Serve | 7 |
| Principal Group PM Manager Principal Group PM Manager to lead a team of Product Managers and own a critical product area within Dynamics 365 Customer Experience AI, focusing on AI-powered Contact Center and Customer Service solutions. The role involves strategy, execution, people management, and cross-team influence for AI-first, agentic, and autonomous products. | Agent | 7 |
| Senior Product Manager - CoreAI Product Manager for CoreAI at Microsoft, focusing on policy enforcement, compliance automation, and AI-driven engineering automation within Microsoft's internal engineering systems. The role involves driving product strategy for platforms that deliver organizational policy controls, event-driven governance workflows, and intelligent automation, with a specific emphasis on integrating multi-agent systems and agentic workflows into engineering platform capabilities. | Agent | 7 |
| Principal Project Manager Principal Project Manager accountable for leading complex, high-impact Cloud, Data, AI, and Security transformation programs for strategic enterprise customers. This role focuses on AI-first delivery models including Generative AI, Azure AI, and Copilot-enabled solutions, moving them from PoC to production-grade enterprise deployments. The role requires strong technical depth, customer trust, and execution in AI, with responsibilities spanning delivery leadership, risk mitigation, stakeholder management, and contributing to AI delivery standards. | ShipAgent | 7 |
| Senior Product Manager Senior Product Manager for the Windows Platform & Developer Experience team, focusing on shaping platform primitives, APIs, and tooling for intelligent, agent-driven experiences. The role involves defining product vision for user signals on Windows, driving strategy for capturing and surfacing user context to power Copilot and AI agents, and influencing on-device model usage on Copilot+ PCs. This includes managing the product lifecycle from definition to launch, driving cross-org adoption, and navigating the intersection of AI and the OS. | AgentServe | 7 |
| Principal Product Manager - AI Security (CoreAI) This role focuses on defining and building the security foundation for AI systems, particularly agentic systems, within enterprise applications. The Principal Product Manager will lead product efforts to detect, prevent, and govern AI security risks, integrating these capabilities with Microsoft's broader security stack. The role is at the intersection of AI systems, cybersecurity, and enterprise cloud infrastructure, driving 0-to-1 product development for AI security. | Agent | 7 |
| Principal Product Manager/Architect - Foundry Inference Platform (CoreAI) The Principal Product Manager/Architect will define and guide the technical architecture of Microsoft Foundry, an AI inferencing platform focused on reliability, scalability, and efficiency for large-scale GPU fleets. The role involves setting product direction for reliability, GPU fleet efficiency, capacity management, and engaging with strategic customers. Success metrics include platform reliability, GPU utilization, and customer outcomes. | Serve | 7 |
| Principal Product Manager Principal Product Manager for Azure AI Foundry and Azure ML, shaping strategy for AI/ML and GenAI platforms including training, deployment, monitoring, and governance. Focuses on developer-centric AI platforms enabling organizations to build, deploy, and operate AI systems at scale. | ServePost-train | 7 |
| Product Manager II - Foundry Model Inference (CoreAI) Product Manager II for Microsoft Foundry, focusing on the AI-first application stack, model serving platform, and generative AI development. The role involves defining product offerings, identifying quality improvement opportunities, tracking metrics, and collaborating with engineering and go-to-market teams to deliver integrated solutions for customers, including those in highly regulated industries. | Serve | 7 |
| Senior Product Manager - Visual Studio Copilot Product Manager for Visual Studio Copilot, focusing on AI-powered developer experiences within the IDE. The role involves defining product strategy, roadmaps, and end-to-end workflows for chat, code completions, and agentic capabilities, requiring close collaboration with engineering, design, research, and data science teams. The goal is to enhance developer productivity while ensuring quality, control, and trust, with a strong emphasis on enterprise readiness and competitive differentiation. | Agent | 7 |
| Principal Product Manager Product Manager for Microsoft AI, focusing on building AI-powered consumer products and services that leverage advertising and new business models. The role involves understanding user needs, defining product requirements, managing end-to-end product development, and collaborating with cross-functional teams to deliver AI-first products. | Ship | 7 |